No Quênia rural, um parto em casa pode ser arriscado, e milhares de mães morrem todos os anos devido a complicações. Atualmente, o número de partos nas unidades de saúde aumentou, graças a programas inovadores que recompensam tanto as mães, quanto os profissionais da área da saúde. O resultado é um melhor atendimento para as mães e seus bebês, antes e depois do nascimento.
Dans les zones rurales du Kenya, les mères qui accouchent chez elles s’exposent à de grands dangers. Elles sont des milliers à mourir chaque année à la suite de complications. Aujourd’hui, de plus en plus de Kenyanes accouchent à l’hôpital, grâce à des programmes innovants qui consistent à récompenser à la fois les mères et le personnel de santé. Ces programmes ont permis d’améliorer la qualité des soins pour les mères mais aussi pour leurs bébés, avant et après la naissance.
In rural Kenya, giving birth at home can be risky, and thousands of mothers die each year from complications. Now, more women are delivering at health facilities, due to innovative programs that reward both moms and healthcare workers. The result is better care for mothers and their babies, both before and after they’re born.
Background: Current assessments on Output-Based Aid (OBA) programs have paid limited attention to the experiences and perceptions of the healthcare providers and facility managers. This study examines the knowledge, attitudes, and experiences of healthcare providers and facility managers in the Kenya reproductive health output-based approach voucher program.
In many African countries, user fees have failed to achieve intended access and quality of care improvements. Subsequent user fee reduction or elimination policies have often been poorly planned, without alternative sources of income for facilities. The authors of the article describe early implementation of an innovative national health financing intervention in Kenya; the health sector services fund (HSSF).
There has been huge progress in the last two decades in reducing both maternal and child mortality globally. In particular the Millennium Development Goals for maternal and child health have focused many countries to develop strategies to accelerate the decline in mortality. However there are still places where the risks to pregnant women remain high and neonatal mortality makes up an increasingly large proportion of the under-five mortality rate.
Building awareness for results-based financing (RBF) and on studies about its contextual feasibility and appropriateness is an important activity that can help policymakers to make informed decisions about the use of RBF and its possible design. Another critical— and related— activity is holding stakeholder consultations. These consultations can help to ensure that the design of the RBF program is tailored to local realities.
Thanks to performance-based financing (PBF), changes are afoot at health facilities across Samburu, a semi-arid county in Kenya’s Rift Valley. These changes are most visible in the freshly painted maternity rooms, the presence of suggestion boxes, and even in the flowerbeds out front. Less immediately visible, but vital, are the positive changes in the way that frontline health workers approach their duties.
From 2011 to 2013 Family Care International (FCI), the International Center for Research on Women (ICRW), and the KEMRI/CDC Research and Public Health Collaboration, in cooperation with the Kenya’s Ministry of Health and with support from the U.K. Government, the John D. and Catherine T. MacArthur Foundation, and the Partnership for Maternal, Newborn & Child Health, conducted a study entitled "A Price Too High to Bear: The Costs of Maternal Mortality to Families and Communities".
This paper examines community-level association between exposure to the reproductive health vouchers programme in Kenya and utilization of services. The data are from a household survey conducted among 2527 women (15–49 years) from voucher and comparable non-voucher sites. Analysis entails cross-tabulations with Chi-square tests and significant tests of proportions as well as estimation of multi-level logit models to predict service utilization by exposure to the programme.